Welcome to the NLP program ! The goal of this program is to help you understand if NLP can be a good career choice for you. We will gauge this by going through a few basic concepts related to NLP, a branch of A.I. that studies how to make machines understand and use language. Language models, tokenization, stemming, and part-of-speech tagging are some of the basics of NLP that we will talk about in this program.
The primary purpose of this program is not to make you experts in NLP, but to help you gauge whether you want to be experts in NLP, so that you only dive into a career you're interested in or passionate about. We do this by giving an industry overview through case studies, while you also solve one of your own. You will also know about the various job roles and current applications of NLP in real-life scenarios.
Even, If you're just starting out in your first job, this program, will even help you brush up on some key concepts and sharpen your understanding, which might be useful while you're preparing for an interview in a company in NLP domain. This program is even useful if you're from a business or marketing background and plan to work in a NLP startup or company. This basic understanding can help you gain an edge above the rest in a very competitive job market.
As an experienced professional, If you want to transition to a career in NLP, but want to be doubly sure, before you invest sizeable time, effort and money, this one's for you too. So to sum it up, this program will give you a good understanding of the basic ideas and methods of NLP. Let's jump right in!
Course Overview
Module 1: NLP Overview
- What is NLP: Get introduced to the basics of Natural Language Processing.
- History of NLP: Explore the evolution and key milestones in the development of NLP.
Module 2: Key Terminologies
- Corpus, Tokenization, POS Tagging: Learn the foundational terminologies used in NLP.
- Named Entity Recognition (NER),Stemming, Lemmatization: Understand the techniques for text processing.
- Sentiment Analysis, Language Modeling, Text Classification: Dive into methods for analyzing and modeling text.
- Word Vectors, Spacy, Stop Words: Discover tools and techniques for working with text data.
- POS, Sentence Segmentation, Deep Learning, Natural Language Understanding: Explore advanced concepts in NLP.
Module 3: Ways of NLP Analysis
- Confusion Matrix, Text Feature Extraction, Semantic Analysis: Learn various methods of analyzing text data.
- Sentiment Analysis with NLTK, Topic Modeling, Latent Dirichlet Allocation, Non Negative Matrix Factorization: Understand advanced text analysis techniques.
- The Basic Perceptron Model: Get introduced to a simple yet powerful neural network model.
Module 4: Neural Networks
- What are Neural Networks, Recurrent Neural Networks, LSTMs, GRU: Explore different types of neural networks used in NLP.
Module 5: Python Libraries
- Scikit Learn, Keras: Learn to use popular Python libraries for NLP tasks.
Module 6: Career Perspectives in NLP
- Job Roles in NLP: Discover various career opportunities in the NLP domain.
- Skills Required to Succeed in NLP Domain: Understand the skills needed to excel in NLP.
- Future Trends in NLP: Get insights into the future trends and opportunities in NLP.
Module 7: NLP Use Cases
- NLP Use Cases: Explore real-world applications of NLP across different industries.
Module 8: NLP Applications
- NLP Applications: Understand the broad range of applications of NLP in various fields.
Module 9: NLP Case Studies
- Application of NLP in Financial Services, Marketing and Advertising, Retail, Software Industry, Space Science: Learn from detailed case studies in diverse industries.
Module 10: Advanced NLP Topics
- NLP and Bioinformatics: Discover how NLP is revolutionizing bioinformatics with applications in personalized treatment, protein interaction prediction, and more.
- NLP and Blockchain: Explore the synergy between NLP and blockchain for enhanced privacy, decentralized knowledge graphs, and more.
- NLP and Cybersecurity: Learn about NLP's role in enhancing cybersecurity through automated analysis, training, and threat detection.
- NLP and Quantum Computing: Understand how quantum computing is pushing the boundaries of NLP.
- NLP and RPA: Discover the applications of NLP in robotic process automation (RPA) for various business processes.
Module 11: Conclusion
- Conclusion: Summarize the key takeaways from the course.
Module 12: NLP Career Decision Making Questionnaire
- NLP Career Decision Making Questionnaire: Reflect on your career path in NLP.
Module 13: Case Study Assignment in NLP
- Exploring a Career as a Quality Analyst in NLP at Grammarly: Apply your knowledge in a practical assignment.
Module 14: Test Your Knowledge
- NLP Genius and NLP Truth Finder: Assess your understanding through quizzes and challenges.
By the end of this program, you'll have a clear understanding of whether a career in NLP aligns with your skills, interests, and career goals. Enroll now to embark on your journey into the fascinating world of Natural Language Processing!
